Drilling wells in challenging oil/gas environments implies in large capital expenditure on
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …

In recent years, artificial intelligence (AI) has been widely applied to optimization problems
in the petroleum exploration and production industry. This survey offers a detailed literature …

Drilling rate of penetration (ROP) prediction is an enormously important step to optimize
drilling controllable parameters. Therefore, numerous efforts have been done in order to …

Rate of penetration (ROP) management is a matter of importance in drilling operations and it
has been considered in different studies. Different machine learning methods such as …

Accurate prediction of pore pressure (PP) is among the most critical concerns to the design
of drilling operation because of the remarkable role of this parameter in preventing particular …

Drilling optimization is one of the most important management and engineering objectives in
the upstream oil and gas industry, which has been the subject of numerous studies during …

Rate of penetration (ROP) represents drilling speed and its productive time during drilling
operations in oil and gas wells. A predictive model that links ROP to its influential …

We evaluate the application of eight different global search algorithms to the optimization of
oil production from a mature field. Our focus is on algorithms that treat the reservoir simulator …

Geological drilling is an important means for exploration of the earth. Due to the nonlinearity
and coupling, geological drilling is accompanied by low efficiency and safety, and difficult to …

Production data analysis for low-permeability unconventional reservoirs is a challenging
task, particularly for cases where multi-phase flow occurs within the reservoir. Analytical …